Alternatives and similar repositories for label-protection:

Users that are interested in label-protection are comparing it to the libraries listed below

• jgshu / Attacks-and-Defenses-in-Federated-Learning
  ☆38Updated 3 years ago
• ksreenivasan / OOD_Federated_Learning
  ☆67Updated 2 years ago
• AI-secure / CoPur
  CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)
  ☆10Updated 2 years ago
• jeremy313 / FL-WBC
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆39Updated 3 years ago
• shentt67 / VFL_Survey
  Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan University.
  ☆12Updated 7 months ago
• Xtra-Computing / FedSim
  A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)
  ☆25Updated last year
• XinyiYS / Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning
  Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…
  ☆22Updated 4 months ago
• hfzhang31 / A3FL
  ☆24Updated last year
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated last year
• zlijingtao / ResSFL
  Official Repository for ResSFL (accepted by CVPR '22)
  ☆20Updated 2 years ago
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆67Updated last year
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆67Updated 3 months ago
• AI-secure / CRFL
  CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
  ☆71Updated 3 years ago
• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆30Updated 2 years ago
• zhmzm / FLAME
  ☆25Updated 11 months ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• zaixizhang / FLDetector
  The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…
  ☆74Updated last year
• epfml / byzantine-robust-optimizer
  Learning from history for Byzantine Robustness
  ☆22Updated 3 years ago
• YMJS-Irfan / DP-FedSAM
  This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…
  ☆45Updated last year
• FLAIR-THU / VFLAIR
  THU-AIR Vertical Federated Learning general, extensible and light-weight framework
  ☆90Updated 6 months ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 3 years ago
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆20Updated last year
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆35Updated last year
• zlh-thu / DPFL
  A Fine-grained Differentially Private Federated Learning against Leakage from Gradients
  ☆13Updated 2 years ago
• avdvg / VFL-Survey
  ☆36Updated 3 years ago
• yjlee22 / byzantineFL
  PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
  ☆33Updated 3 months ago
• cpwan / Attack-Adaptive-Aggregation-in-Federated-Learning
  This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
  ☆43Updated last year
• cugzj / KT-pFL
  ☆33Updated 3 years ago
• xinjianluo / featureinference-vfl
  ☆24Updated 3 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆15Updated last year